| Signal processing on simplicial complexes MT Schaub, JB Seby, F Frantzen, TM Roddenberry, Y Zhu, S Segarra Higher-order systems, 301-328, 2022 | 39 | 2022 |
| The effects of randomness on the stability of node embeddings T Schumacher, H Wolf, M Ritzert, F Lemmerich, M Grohe, M Strohmaier Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 31 | 2021 |
| Hodgelets: Localized spectral representations of flows on simplicial complexes TM Roddenberry, F Frantzen, MT Schaub, S Segarra ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 25 | 2022 |
| TopoX: a suite of Python packages for machine learning on topological domains M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ... Journal of Machine Learning Research 25 (374), 1-8, 2024 | 19 | 2024 |
| Outlier detection for trajectories via flow-embeddings F Frantzen, JB Seby, MT Schaub 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1568-1572, 2021 | 12 | 2021 |
| Icml 2023 topological deep learning challenge: Design and results M Papillon, M Hajij, A Myers, H Jenne, J Mathe, T Papamarkou, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 11 | 2023 |
| Signal processing on product spaces TM Roddenberry, VP Grande, F Frantzen, MT Schaub, S Segarra ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 10 | 2023 |
| Higher-Order Systems MT Schaub, JB Seby, TMR Florian Frantzen, Y Zhu, S Segarra Springer, 2022 | 5 | 2022 |
| Topological Trajectory Classification and Landmark Inference on Simplicial Complexes VP Grande, J Hoppe, F Frantzen, MT Schaub 2024 58th Asilomar Conference on Signals, Systems, and Computers, 44-48, 2024 | 4 | 2024 |
| HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection F Frantzen, MT Schaub Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and …, 2025 | 2 | 2025 |
| Learning From Simplicial Data Based on Random Walks and 1D Convolutions F Frantzen, MT Schaub arXiv preprint arXiv:2404.03434, 2024 | 1 | 2024 |
| ICML 2023 Topological Deep Learning Challenge M Papillon, M Hajij, F Frantzen, H Jenne, J Mathe, J Hoppe, MT Schaub, ... | | |
Michael T. SchaubRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
